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A Traffic Camera Calibration Method Based on Multi-rectangle Calibrating a Camera Using Multi-rectangle Constructed by Mark Lines in Traffic Road

机译:一种基于多矩形校准相机的交通摄像机校准方法,使用交通道路中标记线构造的多矩形

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As distance detection is frequently needed in modern traffic management, camera calibration has a significant influence on the accuracy of distance detection. The traditional calibration methods usually need a calibration target, and the exact distance of calibration points has to be measured. In this paper, according to the camera imaging model, we put forward a calibration method based on multi-rectangle, which constructs several rectangles with the mark lines of the traffic road. Without measuring the internal or external parameters of the camera or the exact distance of calibration point, we only need the side lengths of rectangles and the image coordinates of the rectangular vertexes to establish the video image distance conversion model. For improving the accuracy of conversion, we use multiple rectangles to determine the coordinates of the vanishing points and modify the coordinates of the rectangular vertexes. Experimental results show that our method is more accurate when compared with the mainstream methods.
机译:随着现代交通管理中经常需要距离检测,相机校准对距离检测的准确性具有显着影响。传统的校准方法通常需要校准目标,并且必须测量校准点的确切距离。本文根据相机成像模型,我们提出了一种基于多矩形的校准方法,该方法构造了具有交通道路的标记线的几个矩形。在不测量相机的内部或外部参数或校准点的确切距离,我们只需要矩形的侧面长度和矩形顶点的图像坐标,以建立视频图像距离转换模型。为了提高转换的准确性,我们使用多个矩形来确定消失点的坐标并修改矩形顶点的坐标。实验结果表明,与主流方法相比,我们的方法更准确。

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